Overview:

We're hiring a Senior Data Engineer for our cloud data team in pediatric research. You'll design and maintain production ETL/ELT pipelines and our data lake that turn genomics, clinical, and imaging data into reliable datasets for scientific discovery. Deep hands-on AWS is essential—Glue, Lambda, Step Functions, S3, Lake Formation, Athena—plus advanced Python, strong data modeling/SQL, and IaC (CloudFormation or SAM). You'll build data quality frameworks, lead technical projects, and mentor engineers. Work happens in a HIPAA/NIST 800-171-compliant environment, so experience in regulated settings is a plus. We want 5–7 years in data engineering. Healthcare or research background strongly preferred.

Job Description Summary:

Job Description:

Essential Functions:

• Leads the development and maintenance of complex health informatics applications designed for high availability, as well as data processing and transformation pipelines.
• Gathers requirements, presents plans, and reports on progress and results to key stakeholders.
• Oversees the documentation of systems and processes for future reference and training purposes. Audits current computational systems and processes.
• Identifies and recommends emerging technologies to assess their potential to enhance operational/application capabilities.
• Designs and implements system and architecture enhancements to improve performance and reliability of data generation, analysis, and interpretation.
• Designs usability testing and validation processes and develops procedures for technical support and troubleshooting of system issues.
• Mentors and supports less experienced programmers through design review, pair programming, and formal coaching. Collaborates effectively with research and clinical leadership, faculty, and staff.
• Champions secure coding practices, data privacy, and regulatory compliance.

Education Requirement:

• Bachelor’s Degree in Computer Science or relevant field, or equivalent experience, required.
• Master's Degree or PhD, preferred.

Skills:

• Demonstrated expertise in backend application development and RESTful API design, with deep experience in modern API frameworks and strong proficiency in asynchronous processing and data orchestration patterns.
• Expert knowledge of front-end and/or back-end programming languages, as well as technical troubleshooting approaches.
• Deep knowledge of database design, development, and maintenance.
• Demonstrated ability to model and ensure software development best practices, including version control, code review, testing, and documentation. 
• Ability to complete tasks with high levels of precision and to identify, collect, and analyze data.
• Ability to lead effective mentoring relationships utilizing appropriate coaching and development methods.
• Exceptional interpersonal, presentation, and communication skills, with the ability to interact effectively with research and clinical leadership, faculty, and staff.

Experience:

• 5 years of experience in development, required.
• 4 years of experience in full stack development, preferred.
• Experience with cloud computing environments, including containerization technologies, preferred.
• Experience producing applications or pipelines aligned with defined product requirements, preferred.
• Experience leading cross-functional technical initiatives, including decomposing roadmaps into milestones and measurable outcomes, preferred.

Physical Requirements:

OCCASIONALLY: Bend/twist, Climb stairs/ladder, Flexing/extending of neck, Lifting / Carrying: 0-10 lbs, Pushing / Pulling: 0-25 lbs, Reaching above shoulder, Squat/kneel, Standing, Walking

FREQUENTLY: (none specified)

CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Repetitive hand/arm use, Seeing – Far/near, Sitting